Pipelines with Scikit-Learn and PySpark

Abstract

In this chapter, we explore the topic of pipeline techniques in both Scikit-Learn and PySpark. By harnessing the power of pipelines, data scientists can automate and standardize the steps involved in the modeling workflow. This enables the building of robust and scalable models, enhances model interpretability, and facilitates the integration of additional preprocessing steps and feature engineering techniques.